Litify
The legal operating system built on Salesforce for high-growth firms and corporate departments.
Real-time legal research, tracking, and analytics powered by the vLex global legal intelligence network.
Docket Alarm, now a core component of the vLex ecosystem as of 2026, serves as a premier engine for litigation data extraction and analysis. It provides a massive, searchable database of federal (PACER), state court, and administrative agency records. Architecturally, it is designed for both human-led research and machine-level data ingestion, featuring a robust REST API that allows law firms and corporate legal departments to automate docket tracking. Its position in the 2026 market is defined by its deep integration with Vincent AI, vLex's LLM-driven assistant, which allows users to perform semantic searches across millions of court filings rather than relying solely on keyword matching. The platform distinguishes itself through its specific strengths in PTAB, TTAB, and ITC litigation, making it the industry standard for Intellectual Property litigation monitoring. With real-time alerting systems and advanced judge/counsel profiling, it enables predictive litigation strategies by analyzing historical outcomes. As legal professionals increasingly adopt RAG-based (Retrieval-Augmented Generation) AI workflows, Docket Alarm provides the high-fidelity structured data required to ground legal LLMs in verifiable court facts, reducing hallucinations in automated legal research.
Uses RAG (Retrieval-Augmented Generation) to summarize complex litigation histories and identify relevant precedents.
The legal operating system built on Salesforce for high-growth firms and corporate departments.
The Industry Gold Standard for Legal Table of Authorities and Document Styling Automation.
Automated legal intelligence and risk scoring for the modern enterprise.
Compiling Law into Code: The world's first open-source domain-specific language for computational law.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Dedicated indexing of USPTO administrative proceedings with custom data fields for patent claims.
OCR (Optical Character Recognition) processing on all downloaded court PDFs, making every word searchable.
Statistical modeling of judge behavior and time-to-trial metrics based on millions of historical records.
WebSocket-based notification system that pushes new filings to users within minutes of court entry.
Restful JSON API that allows for the automated harvesting of court records for internal data lakes.
Aggregates win/loss rates and motion success rates for opposing counsel.
Manually checking USPTO and federal courts for patent infringements is time-consuming and error-prone.
Registry Updated:2/7/2026
Identifying undisclosed litigation liabilities in target companies.
Understanding how a specific judge typically rules on 'Motions to Dismiss'.